Paul H. Yi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Transfer Learning

Chest Radiographs

Automated Classification

Medical Image Interpretation

Top Venues

J. Digit. Imaging

npj Digit. Medicine

Publications

Skylar Chan, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification. CoRR (2024)
Pranav Kulkarni, Adway U. Kanhere, Harshita Kukreja, Vivian Zhang, Paul H. Yi, Vishwa S. Parekh
Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning. CoRR (2024)
Pranav Kulkarni, Andrew Chan, Nithya Navarathna, Skylar Chan, Paul H. Yi, Vishwa S. Parekh
Hidden in Plain Sight: Undetectable Adversarial Bias Attacks on Vulnerable Patient Populations. CoRR (2024)
Ghada Zamzmi, Kesavan Venkatesh, Brandon Nelson, Smriti Prathapan, Paul H. Yi, Berkman Sahiner, Jana G. Delfino
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control. CoRR (2024)
Pranav Kulkarni, Adway U. Kanhere, Dharmam Savani, Andrew Chan, Devina Chatterjee, Paul H. Yi, Vishwa S. Parekh
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations. CoRR (2024)
Stephanie L. McNamara, Paul H. Yi, William Lotter
The clinician-AI interface: intended use and explainability in FDA-cleared AI devices for medical image interpretation. npj Digit. Medicine 7 (1) (2024)
Pranav Kulkarni, Sean Garin, Adway Kanhere, Eliot Siegel, Paul H. Yi, Vishwa S. Parekh
High-Throughput AI Inference for Medical Image Classification and Segmentation using Intelligent Streaming. CoRR (2023)
Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh
Text2Cohort: Democratizing the NCI Imaging Data Commons with Natural Language Cohort Discovery. CoRR (2023)
Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh
Surgical Aggregation: A Federated Learning Framework for Harmonizing Distributed Datasets with Diverse Tasks. CoRR (2023)
Adway U. Kanhere, Pranav Kulkarni, Paul H. Yi, Vishwa S. Parekh
SegViz: A Federated Learning Framework for Medical Image Segmentation from Distributed Datasets with Different and Incomplete Annotations. CoRR (2023)
Pranav Kulkarni, Adway Kanhere, Eliot Siegel, Paul H. Yi, Vishwa S. Parekh
One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale. CoRR (2023)
Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels. CoRR (2023)
Beepul Bharti, Paul H. Yi, Jeremias Sulam
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors. NeurIPS (2023)
Jacopo Teneggi, Paul H. Yi, Jeremias Sulam
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT. CoRR (2022)
Pranav Kulkarni, Adway Kanhere, Paul H. Yi, Vishwa S. Parekh
From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning. CoRR (2022)
Christian J. Park, Paul H. Yi, Hussain Al Yousif, Kenneth C. Wang
Machine vs. Radiologist-Based Translations of RadLex: Implications for Multi-language Report Interoperability. J. Digit. Imaging 35 (3) (2022)
Paul H. Yi, Dhananjay Singh, Susan C. Harvey, Gregory D. Hager, Lisa A. Mullen
DeepCAT: Deep Computer-Aided Triage of Screening Mammography. J. Digit. Imaging 34 (1) (2021)
Tae Kyung Kim, Paul H. Yi, Jinchi Wei, Ji Won Shin, Gregory D. Hager, Ferdinand K. Hui, Haris I. Sair, Cheng Ting Lin
Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs. J. Digit. Imaging 32 (6) (2019)
Paul H. Yi, Abigail Lin, Jinchi Wei, Alice C. Yu, Haris I. Sair, Ferdinand K. Hui, Gregory D. Hager, Susan C. Harvey
Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks. J. Digit. Imaging 32 (4) (2019)